Genetic Programming Theory And Practice Xix
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Author |
: Leonardo Trujillo |
Publisher |
: Springer Nature |
Total Pages |
: 272 |
Release |
: 2023-03-11 |
ISBN-10 |
: 9789811984600 |
ISBN-13 |
: 9811984603 |
Rating |
: 4/5 (00 Downloads) |
Synopsis Genetic Programming Theory and Practice XIX by : Leonardo Trujillo
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year ́s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.
Author |
: Rick Riolo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 242 |
Release |
: 2009-11-07 |
ISBN-10 |
: 9781441916266 |
ISBN-13 |
: 1441916261 |
Rating |
: 4/5 (66 Downloads) |
Synopsis Genetic Programming Theory and Practice VII by : Rick Riolo
Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few. About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
Author |
: Tina Yu |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 321 |
Release |
: 2006-06-18 |
ISBN-10 |
: 9780387281117 |
ISBN-13 |
: 0387281118 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Genetic Programming Theory and Practice III by : Tina Yu
Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
Author |
: Rick Riolo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 290 |
Release |
: 2007-12-20 |
ISBN-10 |
: 9780387763088 |
ISBN-13 |
: 0387763082 |
Rating |
: 4/5 (88 Downloads) |
Synopsis Genetic Programming Theory and Practice V by : Rick Riolo
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan’s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
Author |
: Wolfgang Banzhaf |
Publisher |
: Springer Nature |
Total Pages |
: 220 |
Release |
: 2022-02-11 |
ISBN-10 |
: 9789811681134 |
ISBN-13 |
: 9811681139 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Genetic Programming Theory and Practice XVIII by : Wolfgang Banzhaf
This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Author |
: Wolfgang Banzhaf |
Publisher |
: Springer |
Total Pages |
: 249 |
Release |
: 2019-01-23 |
ISBN-10 |
: 9783030047351 |
ISBN-13 |
: 3030047350 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Genetic Programming Theory and Practice XVI by : Wolfgang Banzhaf
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Author |
: Rick Riolo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 322 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781441989833 |
ISBN-13 |
: 1441989838 |
Rating |
: 4/5 (33 Downloads) |
Synopsis Genetic Programming Theory and Practice by : Rick Riolo
Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.
Author |
: Rick Riolo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 288 |
Release |
: 2011-11-02 |
ISBN-10 |
: 9781461417705 |
ISBN-13 |
: 1461417708 |
Rating |
: 4/5 (05 Downloads) |
Synopsis Genetic Programming Theory and Practice IX by : Rick Riolo
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge; In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Author |
: Wolfgang Banzhaf |
Publisher |
: Springer Nature |
Total Pages |
: 409 |
Release |
: 2020-05-07 |
ISBN-10 |
: 9783030399580 |
ISBN-13 |
: 3030399583 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Genetic Programming Theory and Practice XVII by : Wolfgang Banzhaf
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Author |
: Wolfgang Banzhaf |
Publisher |
: Springer |
Total Pages |
: 199 |
Release |
: 2018-07-05 |
ISBN-10 |
: 9783319905129 |
ISBN-13 |
: 3319905120 |
Rating |
: 4/5 (29 Downloads) |
Synopsis Genetic Programming Theory and Practice XV by : Wolfgang Banzhaf
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.